Jing Qiu

Title: Innovations by Jing Qiu in Encrypted Traffic Classification

Introduction

Jing Qiu is an accomplished inventor based in Guangdong, China. He has made significant contributions to the field of network security, particularly in the classification of encrypted traffic. His innovative approach utilizes machine learning to enhance the identification of normal and malicious traffic.

Latest Patents

Jing Qiu holds a patent for a "System for classifying encrypted traffic based on data packet." This system comprises a traffic capture module, a traffic analysis module, and a traffic classification module. It collects data packets from network flows to construct a machine learning model that classifies encrypted traffic effectively. The system distinguishes between normal and malicious traffic by obtaining various features, including basic spatial-temporal features, header features, load features, and statistical features. Additionally, it focuses on the differences between various versions of encryption protocols, particularly the transport layer security (TLS) protocol, to improve classification efficiency.

Career Highlights

Jing Qiu is affiliated with Guangzhou University, where he continues to advance his research in network security and machine learning. His work has garnered attention for its practical applications in enhancing cybersecurity measures.

Collaborations

Jing collaborates with notable colleagues, including Jie Ding and Rongrong Chen, who contribute to his research endeavors.

Conclusion

Jing Qiu's innovative work in classifying encrypted traffic represents a significant advancement in network security. His contributions are vital for improving the detection of malicious activities in encrypted communications.